Outlier detection and false discovery rates for whole-genome DNA matching

Jung Ying Tzeng, William Byerley, B. Devlin, Kathryn Roeder, Larry Wasserman

研究成果: Article同行評審

25 引文 斯高帕斯(Scopus)

摘要

We define a statistic, called the matching statistic, for locating regions of the genome that exhibit excess similarity among cases when compared to controls. Such regions are reasonable candidates for harboring disease genes. We find the asymptotic distribution of the statistic while accounting for correlations among sampled individuals. We then use the Benjamini and Hochberg false discovery rate (FDR) method for multiple hypothesis testing to find regions of excess sharing. The p values for each region involve estimated nuisance parameters. Under appropriate conditions, we show that the FDR method based on p values and with estimated nuisance parameters asymptotically preserves the FDR property. Finally, we apply the method to a pilot study on schizophrenia.

原文English
頁(從 - 到)236-246
頁數11
期刊Journal of the American Statistical Association
98
發行號461
DOIs
出版狀態Published - 2003 3月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 統計、概率和不確定性

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